Nonlinear Data and Signal Analysis with Diffusion Operators

Informazioni relative al progetto

DIFFOP

ID dell’accordo di sovvenzione: 802735

DOI

10.3030/802735

Progetto chiuso

Data della firma CE 29 Gennaio 2019

Data di avvio 1 Febbraio 2019

Data di completamento 31 Gennaio 2026

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 260 000,00

Contributo UE

€ 1 260 000,00

Coordinato da

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Israel

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (11)

Extracting Common Components from Partially Observed Views Using Diffusion Geometry

Autori: B. Weiss, H.-T. Wu, and R. Talmon
Pubblicato in: Transactions on Machine Learning Research, 2026, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers

Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment

Autori: Almog Lahav, Ronen Talmon
Pubblicato in: IEEE Transactions on Signal Processing, Numero 71, 2023, Pagina/e 1907-1921, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2023.3272159

Identifying Topological Phase Transitions in Experiments Using Manifold Learning

Autori: Eran Lustig, Or Yair, Ronen Talmon, Mordechai Segev
Pubblicato in: Physical Review Letters, Numero 125/12, 2020, ISSN 0031-9007
Editore: American Physical Society
DOI: 10.1103/physrevlett.125.127401

Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators

Autori: Tal Shnitzer, Mirela Ben-Chen, Leonidas Guibas, Ronen Talmon, Hau-Tieng Wu
Pubblicato in: SIAM Journal on Mathematics of Data Science, Numero 1/3, 2019, Pagina/e 588-616, ISSN 2577-0187
Editore: SIAM Journal on Mathematics of Data Science
DOI: 10.1137/18m1218157

Domain Adaptation for DoA Estimation in Multipath Channels With Interferences

Autori: Amitay Bar, Joseph S. Picard, Israel Cohen, Ronen Talmon
Pubblicato in: IEEE Transactions on Signal Processing, Numero 73, 2025, Pagina/e 3734-3747, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2025.3577257

On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation

Autori: Amitay Bar, Ronen Talmon
Pubblicato in: IEEE Transactions on Signal Processing, Numero 72, 2025, Pagina/e 260-274, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2023.3322779

Spatiotemporal analysis using Riemannian composition of diffusion operators

Autori: Tal Shnitzer, Hau-Tieng Wu, Ronen Talmon
Pubblicato in: Applied and Computational Harmonic Analysis, Numero 68, 2025, Pagina/e 101583, ISSN 1063-5203
Editore: Academic Press
DOI: 10.1016/j.acha.2023.101583

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

Autori: Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 38, 2024, Pagina/e 20328-20336, ISSN 2374-3468
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/aaai.v38i18.30014

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry

Autori: Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt Schalper, Yuval Kluger
Pubblicato in: PLOS Computational Biology, Numero 17, 2021, Pagina/e e1008741, ISSN 1553-7358
Editore: Public Library of Science (PLoS)
DOI: 10.1371/journal.pcbi.1008741

Spectral Discovery of Jointly Smooth Features for Multimodal Data

Autori: Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
Pubblicato in: SIAM Journal on Mathematics of Data Science, Numero 4, 2024, Pagina/e 410-430, ISSN 2577-0187
Editore: SIAM
DOI: 10.1137/21m141590x

Multimodal manifold learning using kernel interpolation along geodesic paths

Autori: Ori Katz, Roy R. Lederman, Ronen Talmon
Pubblicato in: Information Fusion, Numero 114, 2026, Pagina/e 102637, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2024.102637

Conference proceedings (16)

Domain and Modality Adaptation Using Multi-Kernel Matching

Autori: Tamir Baruch Yampolsky, Ronen Talmon, Ofir Lindenbaum
Pubblicato in: 2023 31st European Signal Processing Conference (EUSIPCO), 2023, Pagina/e 1285-1289
Editore: IEEE
DOI: 10.23919/eusipco58844.2023.10290039

Direct Position Determination by Covariance-Fitting on the Riemannian Manifold of Hermitian Positive Definite Matrices

Autori: Joseph S. Picard, Amitay Bar, Ronen Talmon
Pubblicato in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, Pagina/e 8521-8525
Editore: IEEE
DOI: 10.1109/icassp48485.2024.10445866

RTF Estimation Using Riemannian Geometry for Speech Enhancement in the Presence of Interferences

Autori: Or Ronai, Yuval Sitton, Amitay Bar, Ronen Talmon
Pubblicato in: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026, Pagina/e 1-5
Editore: IEEE
DOI: 10.1109/icassp49660.2025.10888479

Hyperbolic Procrustes Analysis Using Riemannian Geometry

Autori: Y.-W. Lin, Y. Kluger, and R. Talmon
Pubblicato in: Advances in Neural Information Processing Systems, 2021
Editore: NeurIPS Foundation

Few-Sample Feature Selection via Feature Manifold Learning

Autori: D. Cohen, T. Shnitzer, Y. Kluger, and R. Talmon
Pubblicato in: Proceedings of the International Conference on Machine Learning, 2023
Editore: PMLR

Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning

Autori: Y.-W. Lin, R. R. Coifman, G. Mishne, and R. Talmon
Pubblicato in: Proceedings of the International Conference on Machine Learning, 2023
Editore: PMLR

Multi-Microphone Speaker Localization on Manifolds

Autori: Bracha Laufer-Goldshtein, Ronen Talmon and Sharon Gannot
Pubblicato in: 2019
Editore: IEEE

Localization of an Unknown Number of Speakers in Adverse Acoustic Conditions Using Reliability Information and Diarization

Autori: Andreas Brendel, Bracha Laufer-Goldshtein, Sharon Gannot, Ronen Talmon and Walter Kellermann
Pubblicato in: 2019
Editore: IEEE

Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion

Autori: H. Mendelman and R. Talmon
Pubblicato in: Proceedings of the International Conference on Learning Representations (ICLR), 2025
Editore: OpenReview / ICLR

Discovery of Single Independent Latent Variable

Autori: U. Shaham, J. Svirsky, O. Katz, and R. Talmon
Pubblicato in: Advances in Neural Information Processing Systems, 2022
Editore: NeurIPS Foundation

Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance

Autori: Y.-W. Lin, R. R. Coifman, G. Mishne, and R. Talmon
Pubblicato in: Advances in Neural Information Processing Systems, 2025
Editore: NeurIPS Foundation

Aligning Sets of Temporal Signals with Riemannian Geometry and Koopman Operator

Autori: Ohad Rahamim, Ronen Talmon
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, Pagina/e 5310-5314
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9413729

Hyperbolic Distance Based on EMD and Diffusion for Hyperspectral Imaging

Autori: Elad Lavi, Amir Bourvine, Ya-Wei Eileen Lin, Ronen Talmon
Pubblicato in: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026, Pagina/e 1-5
Editore: IEEE
DOI: 10.1109/icassp49660.2025.10889106

Hyperbolic Diffusion Procrustes Analysis for Intrinsic Representation of Hierarchical Data Sets

Autori: Ya-Wei Eileen Lin, Yuval Kluger, Ronen Talmon
Pubblicato in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, Pagina/e 6325-6329
Editore: IEEE
DOI: 10.1109/icassp48485.2024.10446370

Hyperbolic Diffusion Tree-Wasserstein Distance for Data with Latent Feature Hierarchy

Autori: Y.-W. Lin, R. R. Coifman, G. Mishne, and R. Talmon
Pubblicato in: Proceedings of the International Conference on Learning Representations (ICLR), 2025
Editore: OpenReview / ICLR

Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold

Autori: I. Cohen and R. Talmon
Pubblicato in: Advances in Neural Information Processing Systems, 2025
Editore: NeurIPS Foundation

Other (5)

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry

Autori: Y.-W. E. Lin, T. Shnitzer, R. Talmon, F. Villarroel-Espindola, S. Desai, K. Schalper, and Y. Kluger
Pubblicato in: 2020
Editore: CSH - Cold Spring Harbor Laboratory
DOI: 10.1101/2020.08.23.263467

Spectral Discovery of Jointly Smooth Features for Multimodal Data

Autori: O. Yair, F. Dietrich, R. Mulayoff, R. Talmon, and I. G. Kevrekidis
Pubblicato in: 2020
Editore: Cornell University

Symmetric Positive Semi-definite Riemannian Geometry with Application to Domain Adaptation

Autori: O. Yair, A. Lahav, and R. Talmon
Pubblicato in: 2020
Editore: Cornell University

Domain Adaptation with Optimal Transport on the Manifold of SPD matrices

Autori: O. Yair, F. Dietrich, I. G. Kevrekidis, and R. Talmon
Pubblicato in: 2020
Editore: Cornell University

Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing

Autori: O. Katz, R. R. Lederman, R. Talmon
Pubblicato in: 2020
Editore: Cornell University

Book chapters (1)

Joint Geometric and Topological Analysis of Hierarchical Datasets

Autori: Lior Aloni, Omer Bobrowski, Ronen Talmon
Pubblicato in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2025, Pagina/e 478-493
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-86523-8_29